Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: Assessing prefrontal cortex neural activity related to decision-making

Statistics in Medicine

Volumn 25, Issue 14, 2006, Pages 2483-2501

  Roca Pardiñas, Javier ^a   Cadarso Suárez, Carmen ^b   Nácher, Verónica ^b   Acuña, Carlos ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Bootstrap; Generalized additive models; Interactions; Kernel smooting; Neural activity

Indexed keywords

ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; BRAIN FUNCTION; CONTROLLED STUDY; COVARIANCE; DATA COLLECTION METHOD; DECISION MAKING; METHODOLOGY; MONKEY; NERVE CONDUCTION; NONHUMAN; PREFRONTAL CORTEX; PROBABILITY; SAMPLE SIZE; SAMPLING; SCORING SYSTEM; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; TASK PERFORMANCE; VALIDATION PROCESS;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN MAPPING; DECISION MAKING; HAPLORHINI; LOGISTIC MODELS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PREFRONTAL CORTEX; STATISTICS, NONPARAMETRIC; TIME FACTORS;

EID: 33745955569     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2415     Document Type: Article

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